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Most-download articles are from the articles published in 2022 during the last three month.

Original Papers
Quantitative Study of Butterfly Diversity in Wando Quercus acuta Forest Over 5 Years (2017-2021)
Sanghun Lee, Na-Hyun Ahn
GEO DATA. 2023;5(2):55-59.   Published online June 20, 2023
DOI: https://doi.org/10.22761/GD.2023.0010
  • 5,380 View
  • 838 Download
AbstractAbstract PDF
This study presents the long-term quantitative data on butterflies in Wando Arboretum, which represents the only warm-temperate forest located in the southernmost part of South Korea. This arboretum has significant academic value as approximately 770 species of rare woody plants or herbs, such as the Japanese evergreen oak (Quercus acuta), found in warm temperate zones grow under natural conditions here. In this project, the butterflies in this region were studied due to their sensitivity to temperature changes. The study was conducted from March-April to October-November over 5 years (2017-2021) in the region dominated by Japanese evergreen oak. We found 1,743 individuals of 47 butterfly species belonging to five families. The acquired butterfly data could serve as a reference for the further development of a network-oriented database for assessing temporal climate changes.
Exploring Wild Bees Diversity in Seocheon Maeul-Soop: A Quantitative Study
Sanghun Lee, Ohchang Kwon, Dong Su Yu, Jeong-Seop An, Na-Hyun Ahn
GEO DATA. 2024;6(1):1-7.   Published online March 26, 2024
DOI: https://doi.org/10.22761/GD.2024.0003
  • 1,939 View
  • 232 Download
AbstractAbstract PDF
Wild bees are important pollinators in the ecosystem, and it is important to monitor their abundance and diversity to characterize and conserve these pollinators. In this study, wild bees were collected from a Maeul-soop in Seocheon-gun, Chungcheongnam-do, Republic of Korea for 2 years from February 2019 to October 2020. From the survey, a total of 3,258 wild bees from 9 families and 57 species were collected over 2 years in the Maeul-soop. The most dominant species was the Andrena kaguya, followed by the Apis mellifera, the Eucera spurcatipes, the Seladonia aeraria, and the Lasioglossum sibiriacum. Monthly changes in the number of species and populations show that the number of species increased from February and peaked in August, and the population peaked in April and then decreased. In addition, in the list of wild bee species collected over the past 2 years, the Apidae was the largest with 16 species, followed by the Halictidae with 13 species and the Megachilidae with nine species. However, although there is only one species of Andrena kaguya in the Andrenidae, its population is 2,084, which is the largest among all wild bees investigated in this study. The results of this study will be useful in understanding the impact of pollinating insects due to climate change in the future.
Distribution Status of Invasive Alien Species in the Estuarine Wetlands in East and South Coast, Korea
Yeounsu Chu, Pyoungbeom Kim, Minhyeok Won
GEO DATA. 2024;6(2):56-62.   Published online June 14, 2024
DOI: https://doi.org/10.22761/GD.2024.0007
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AbstractAbstract PDFSupplementary Material
Based on the results of survey on estuarine ecosystem conducted from 2021 to 2023, this study analyzed the distribution pattern of invasive alien species. A total of six invasive alien species (Micropterus salmoides [M. salmoides], Lepomis macrochirus [L. macrochirus], Lithobates catesbeianus [L. catesbeianus], Trachemys scripta [T. scripta], Pseudemys concinna [P. concinna], and Pseudemys nelsoni [P. nelsoni]) were identified across 118 estuarine wetlands. The survey revealed 960 individuals of M. salmoides, 2,596 individuals of L. macrochirus, 1,088 individuals of L. catesbeianus, and 44 individuals of T. scripta, while 1 individual of P. concinna and P. nelsoni were found. These invasive species were found to be densely distributed in estuarine wetlands in the Haenam and Goheung regions of the southern coast. Furthermore, the distribution density varied depending on the characteristics and locations of the estuarine wetlands. It was observed that the distribution density was higher in closed type than in open type, in riverine than in lacustrine, and in the south coast than in the east coast. Once the basic survey of estuarine wetlands located on the west coast is completed, a clearer understanding of the nationwide distribution characteristics of invasive alien species in estuarine wetlands can be achieved. This information will be crucial for formulating appropriate management strategies tailored to the characteristics of wetlands or coastal areas in the future.
Article
Kompsat-5 Image Data Provision and Quality Management
Dochul Ynag, Horyung Jeong, Doochun Seo
GEO DATA. 2022;4(4):13-19.   Published online December 31, 2022
DOI: https://doi.org/10.22761/DJ2022.4.4.002
  • 1,131 View
  • 86 Download
AbstractAbstract PDF
The Korea Aerospace Research Institute is conducting continuous quality management to provide reliable Kompsat-5 SAR image products to users. In this paper, the Kompsat-5 satellite operation, data processing, quality management, and data provision were described. The operation and image mode characteristics of the Kompsat-5 satellite from the image point of view were described, and the classification and characteristics of image products provided to users were explained. In addition, image data acquisition, quality index measurement, and its results are described for quality management of SAR images. Finally, it explains how to search for and order Kompsat image product through the ARIRANG system to quickly provide users with image products whose quality has been confirmed through quality management. Kompsat product can be searched and ordered from the ARIRANG Satellite Search and Order System (https://ksatdb.kari.re.kr/arirang/).
Original Papers
The Study of Distribution for the Plants of Alien Species on Specific Islands Monitored by Ministry of Environment, South Korea
Youngjun Park, Donghui Choi, Daeun Kim, Hyungsoo Seo, Hyoun-gi Cha, Hyun-chul Shin
GEO DATA. 2024;6(2):45-55.   Published online June 10, 2024
DOI: https://doi.org/10.22761/GD.2024.0006
  • 828 View
  • 34 Download
AbstractAbstract PDF
This study was conducted to provide information on alien species to the specific islands monitored by Ministry of Environment in South Korea, based on the National Survey of Natural Environment of Islands from 2006 to 2020. In the study area, a total 54 taxa, consisting of 17 family, 45 genera, 53 species, one variety, were found. Among them, two species classified as Ecosystem-disturbing species, Humulus japonicus (H. japonicus) Siebold & Zucc. and Ambrosia artemisiifolia (A. artemisiifolia) Linnaeus were found. Alien plants were identified on 127 islands (49.4%), H. japonicus were found on 27 and A. artemisiifolia on six specific islands. The spatial status of alien flora on the specific islands monitored by Ministry of Environment in our data can be basic ecological information for the conservation and management of plant species diversity on the islands.
GeoAI Dataset for Training Deep Learning-Based Optical Satellite Image Matching Model
Jin-Woo Yu, Che-Won Park, Hyung-Sup Jung
GEO DATA. 2023;5(4):244-250.   Published online December 28, 2023
DOI: https://doi.org/10.22761/GD.2023.0048
  • 807 View
  • 51 Download
AbstractAbstract PDF
Satellite imagery is being used to monitor the Earth, as it allows for the continuous provision of multi-temporal observations with consistent quality. To analyze time series remote sensing data with high accuracy, the process of image registration must be conducted beforehand. Image registration techniques are mainly divided into region-based registration and feature-based registration, and both techniques extract the same points based on the similarity of spectral characteristics and object shapes between master and slave images. In addition, recently, deep learning-based siamese neural network and convolutional neural network models have been utilized to match images. This has high performance compared to previous non-deep learning algorithms, but a very large amount of data is required to train a deep learning-based image registration model. In this study, we aim to generate a dataset for training a deep learning-based optical image registration model. To build the data, we acquired Satellite Side-Looking (S2Looking) data, an open dataset, and performed preprocessing and data augmentation on the data to create input data. After that, we added offsets to the X and Y directions between the master and slave images to create label data. The preprocessed input data and labeled data were used to build a dataset suitable for image registration. The data is expected to be useful for training deep learning-based satellite image registration models.
Article
GEO-KOMPSAT-2A/2B AMI/GOCI-II/GEMS Data & Products
Sungsik Huh, Kyoung-Wook Jin
GEO DATA. 2022;4(4):39-49.   Published online December 31, 2022
DOI: https://doi.org/10.22761/DJ2022.4.4.005
  • 1,094 View
  • 56 Download
AbstractAbstract PDF
Two geostationary satellites developed by the Korea Aerospace Research Institute and currently in operation are the GEO-KOMPSAT-2A (GK-2A) and the GEO-KOMPSAT-2B (GK-2B). The main instruments mounted on these satellites are the Advanced Meteorological Imager (AMI), the Geostationary Ocean Color Imager (GOCI-II) and the Geostationary Environment Monitoring Spectrometer (GEMS). This paper briefly introduced the GK-2A and GK-2B programs including measurement principles and elements of the instruments. Moreover, the data formats, operational products, and applications are summarized.
Original Paper
Spatial Distribution Status of Landform in 1st Grade Area of Ecology and Nature Map
Hye-Yeon Yoon, So-Young Hwang, Hyun-Su Park
GEO DATA. 2024;6(2):87-99.   Published online June 27, 2024
DOI: https://doi.org/10.22761/GD.2024.0010
  • 920 View
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AbstractAbstract PDF
In this study, spatial distribution analysis was conducted on the landforms that appear within the 1st grade area using the ecology and nature map of 2023. As a result, a total of 97 landforms including tidal flat and incised meander were identified as unit landforms, and a total of 1,490 sites were distributed. The spatial distribution by administrative region was highest in Gangwon-do with 273 sites (12.8%), and by unit landform, cliff (173 sites), stream cliff (129 sites), and sea cliff (100 sites) were the most distributed. These landforms are cliffs found in mountainous, riverine, and coastal areas, respectively, and are characterized by their high geomorphological conservation value due to their large scale and geometric shape compared to other terrains. In terms of spatial distribution by landform type, stream landforms (501 sites, 33.6%) accounted for the largest proportion, and there were 24 units landforms. The results obtained can be utilized for future designation of expanded ecosystem protection areas or ecosystem monitoring surveys, along with continued landform conservation.
Data Article
Distribution Status for the Plants of Alien Species on the Baekdudaegan Protected Area, South Korea
Hyungsoo Seo, Hyun-Su Hwang, Hyun-Chul Shin, Daeun Kim, Donghui Choi, Youngjun Park
GEO DATA. 2024;6(3):101-109.   Published online September 30, 2024
DOI: https://doi.org/10.22761/GD.2024.0019
  • 97 View
  • 16 Download
AbstractAbstract PDF
This study was conducted to provide information on alien species to the Baekdudaegan Protected Area eco-survey by Ministry of Environment in South Korea from 2015 to 2019. The scope of the survey is based on data from 26 subsections out of 44 subsections in five regions, excluding Korea National Park. In the study area, a total 58 taxa, consisting of 16 family, 48 genera, 56 species, two varieties were found. In addition, five species of ecosystem-disturbing species were identified that Ambrosia artemisiifolia, Aster pilosus, Rumex acetosella, Solanum carolinense, Humulus japonicus. However, the habitat of ecosystem-disturbing species could not be confirmed in the subsections of Dakmokjae-Kubusiryeong (designated number, 13-20), Gisdaebaegibong-Doraegijae (designated number, 23, 24), Ihwaryeong-Haneuljae (designated number, 33), and Neuljae-Miljae (designated number, 37). The spatial status of alien flora on the Baekdudaegan Protected Area monitored by Ministry of Environment in our data can be basic ecological information for the conservation and management of plant species diversity on it.
Original Paper
Vegetation Spatial Distribution on Taean Duung Wetland Protect Area
Haeseon Shin, Sanghun Lee, Sangwook Han
GEO DATA. 2024;6(1):8-13.   Published online March 28, 2024
DOI: https://doi.org/10.22761/GD.2024.0004
  • 1,100 View
  • 70 Download
AbstractAbstract PDF
In this study, we conduct for providing information on the status of vegetation space distribution in the Duung wetland protected area and to help manage the wetland protected area. To understand the spatial distribution of vegetation in Duung Wetland, used the results of surveys in 2019 and 2023. As a result of the study, the number of vegetation types increased by 4 from 20 to 24. Four communities were newly investigated, including the Utricularia tenuicaulis community, Pueraria montana var. lobata-Elymus tsukushiensis community, Spiraea prunifolia for. simpliciflora community, and Miscanthus sinensis var. purpurascens community. In accordance with the environment, the range of aquatic plant communities such as Trapa japonica community and Nymphaea tetragona var. angusta community increased, and the succession zone of cultivated land expanded dry grassland. The survey results can be used as basic data for systematic management of the Duung wetland protected area.
Article
KOMPSAT Optical Image Data Provision and Quality Management
Daesoon Park, Doocheon Seo, Heeseob Kim
GEO DATA. 2022;4(4):28-38.   Published online December 31, 2022
DOI: https://doi.org/10.22761/DJ2022.4.4.004
  • 718 View
  • 43 Download
AbstractAbstract PDF
Korea Aerospace Research Institute (KARI) is conducting continuous quality control to provide reliable optical image products to various users. This paper describes KOrea Multi-Purpose SATellites (KOMPSAT-3 and KOMPSAT-3A) characteristics, operation, and image collection mode in order to enhance satellite image application. Also, image product of the satellites and quality management of the image product are described in this paper. The KOMPSAT-3 launched in 2012 and KOMPSAT-3A launched in 2015 collected many imageries around the world and provide them to users through web. Users can search for images through web catalog and order new imaging task. The KOMPSAT images provided under the KARI control is expected to be great help for earth observation and satellite image application enhancement.
Original Papers
Refined GEDI Level-2A Database Construction: Focused on Gyeonggi Province, Republic of Korea
Kyeong-Hun Cho, Seung-Kuk Lee
GEO DATA. 2024;6(2):77-86.   Published online June 28, 2024
DOI: https://doi.org/10.22761/GD.2024.0008
  • 843 View
  • 68 Download
AbstractAbstract PDF
The Global Ecosystem Dynamics Investigation (GEDI), a full-waveform light detection and ranging system, translated the energy into a continuous waveform and recorded the signals chronologically for enabling geometric analysis of the vertical structure of vegetation. The National Aeronautics and Space Administration has used the land, vegetation, and ice sensor (LVIS) airborne laser altimeter system to measure terrain, tree heights, and vegetation carbon stocks in designated areas. The effectiveness of the collected LVIS data has been proven in mapping forest structures and biomass in tropical and temperate systems. Based on the successful achievements of LVIS, the GEDI aimed to establish a global range of forest data needed to analyze and predict the carbon cycle and climate change. The GEDI was launched aboard the SpaceX-16 in 2018 and successfully attached to the International Space Station (ISS) for a 2-year mission, but now extended until March 2023. Since being mounted on the ISS, GEDI measured over 10 billion cloud-free surface observations within the range of 51.6°N to 51.6°S. In this paper, GEDI mission is introduced, and the process of downloading, refining the GEDI level-2A product focused on Gyeonggi Province is outlined.
Dataset on the Distribution of Ecosystem-Disturbing Plants in the Republic of Korea
Man-Seok Shin, Yu Jin Hong, Sanghun Lee
GEO DATA. 2023;5(2):66-76.   Published online June 27, 2023
DOI: https://doi.org/10.22761/GD.2023.0009
  • 1,377 View
  • 113 Download
AbstractAbstract PDF
In this study, we presented distribution data for 16 plant species designated as ecosystem-disturbing species by the Ministry of Environment of the Republic of Korea. These data include location information for the ecosystem-disturbing plants from four survey projects (Monitoring of invasive alien species designated by the wildlife protection act, Nationwide survey of non-native species in Korea, The 3rd and 4th national ecosystem survey) conducted by two agencies (National Institute of Ecology and National Institute of Environmental Research) between 2014 and 2021. Additionally, the data includes habitat environmental characteristics and administrative district information on the survey sites of the ecosystem-disturbing plants. These data have a high potential for utilization as basic information for natural environmental policies and related research by identifying the habitat characteristics of invasive alien species.
Article
Spatial Distribution Characteristics of Seagrass Habitat Based on Remote Sensing Data: Focusing on Wan Island
Jung Yoon Yeo, Joo Bong Jeong, Jong Kyu Kim
GEO DATA. 2022;4(2):23-36.   Published online June 30, 2022
DOI: https://doi.org/10.22761/DJ2022.4.2.003
  • 1,138 View
  • 50 Download
AbstractAbstract PDF
In May 2019, UAV photogrammetry using drones (unmanned aircraft) was conducted to investigate the spatial distribution characteristics of the seagrass habitat in Wan Island. Wan Is. sea was divided into 3 geographical areas (Site A, B, C) by referring to the seagrass distribution identified by the National Coastal seagrass forest precision survey (Ministry of Oceans and Fisheries, 2015), and contour lines were extracted from grid depth data. In addition, a 3-D benthic topographic map using DTM (Digital Terrain Model) was created to understand the characteristics and slope of the benthic topographic map. Through the analysis of the seagrass distribution results and the water depth results, it was confirmed that the boundary between the seagrass distribution in the outer and coastal areas converges to different water depth limits (within 10 m, and within 5 m), which is estimated to be based on the characteristics of the outer sea area. As a result of the analysis of the benthic topography, it was confirmed that the slope of the well-covered distribution was relatively gentle below 0.2~0.8 degrees, and the well-covered distribution was limited to the vicinity of the boundary where the slope changed rapidly. As a result of comparing the area of the seagrass distribution survey in 2015 and 2019, it was confirmed that the area was 238.4 ha and 1,070.9 ha, respectively, which was 4.5 times more widerly when performing Drone survey than diving survey. In order to understand the surrounding environment of the seagrass distribution site, satellite image data and license fishing ground information map at the time of drone shooting (May 2019) were checked. As a result, seaweed (Kelp, Sea mustard seaweed, Seaweed, Seaweed fulvescens, etc.) and shellfish (Abalone) were densely distributed, and most of the facilities except for Seaweed fulvescens farms were separated from their habitat. Drone survey confirmed Zostera marina, Zostera caulescens, and Zostera japonica in Wan Is., but no Phyllospadix iwatensis and Halophila nipponica were identified in 2015. It was confirmed that there was a limit to classifying the types of vegetation due to the characteristics of Phyllospadix iwatensis attached to the rock substrate, and in the case of Halophila nipponica with short leaves of 2 to 3 cm, they were not exposed to the water even at low tide, so there was a limit to detection using drones. These research results are expected to be useful data for grasping the characteristics of a wide range of seagrass habitats in other seas in the future.
Data Article
Occurrences Status of Biota in Gochang-gun, South Korea
Dong-Uk Kim, Jeong-Cheol Kim, Chang-Hoon You, WooSeok Oh
GEO DATA. 2024;6(3):123-143.   Published online September 30, 2024
DOI: https://doi.org/10.22761/GD.2024.0015
  • 141 View
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AbstractAbstract PDF
The Gochang-gun biotope map was used as a benchmarking model when preparing a county unit in the future, and was prepared for the purpose of constructing detailed spatial data for eco-friendly urban management and efficient management and value improvement of cultural assets. The purpose of this study is to provide data so that it is used as basic data for the distribution status of animals and plants and the systematic management of endangered wild animals. As a result of the survey of animals and plants in Gochang-gun, a total of 255 species of 88 families and 184 genera appeared. A total of eight families and 14 species of mammals appeared. A total of 32 families and 52 species of birds appeared. A total of nine and 26 species of fish appeared, and five species endemic to Korea appeared. Six and seven species of amphibians and reptiles appeared, respectively, and one species of exotic specices appeared. A total of 26 species of benthic large-scale vertebrates appeared, and three species endemic to Korea appeared. As for endangered wild creatures, two species of plants, six species of birds and three species of mammals appeared. It is judged that the data on animals and plants based on the urban ecological status map of Gochang-gun can be used as basic data for environmental policy decisions such as the management of ecosystem disturbances in Gochang-gun, the protection of endangered wild creatures, and the protection and restoration of plant and plant habitats.

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